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Record W2144456615 · doi:10.1139/cjz-2014-0119

Age, but not sex and seasonality, influence Haemosporida prevalence in White-banded Tanagers (<i>Neothraupis fasciata</i>) from central Brazil

2014· article· en· W2144456615 on OpenAlexvenueno aff
Alan Fecchio, Marcos Robalinho Lima, Augusto C. A. Ribas, Renato Caparroz, Miguel Ângelo Marini

Bibliographic record

VenueCanadian Journal of Zoology · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
Fundersnot available
KeywordsHaemoproteusBiologyPlasmodium (life cycle)ZoologyWhite (mutation)PopulationGenusCytochrome bParasite hostingDemographyMalariaGametocyteImmunologyPlasmodium falciparumMitochondrial DNAGene

Abstract

fetched live from OpenAlex

Despite many studies on avian blood parasites, we still have a limited understanding of the mechanisms that drive patterns of haemosporidian infection among tropical birds, including effects associated with sex, age, and seasonality. Using molecular and morphological methods for blood-parasite detection, we found that juvenile White-banded Tanagers (Neothraupis fasciata (Lichtenstein, 1823)) had lower haemosporidian prevalence than adults in a population within central Brazil. However, no sex or seasonal differences were detected. Of the 92 White-banded Tanagers analyzed, 67 individuals (72.8% prevalence) were infected with either Haemoproteus or Plasmodium (phylum Sporozoa, class Coccidea, order Haemosporida). Sequencing of a portion of the mitochondrial cytochrome b gene revealed six haemosporidian lineages: two lineages within the genus Haemoproteus and four within the genus Plasmodium. The prevalences of Plasmodium and Haemoproteus parasites were 43.5% and 17.4%, respectively. Our results suggest that this species maintains chronic infections all year round and individuals are able to sustain high parasite pressure.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.228
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2014
Admission routes1
Has abstractyes

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